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Reducing subjectivity in landslide susceptibility mapping: machine learning-informed multi-criteria analysis with spatial uncertainty assessment

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Progress in Physical Geography: An International Review of Geographical Work in the Natural and Environmental Sciences

Published online on

Abstract

Progress in Physical Geography: Earth and Environment, Ahead of Print.
Landslide susceptibility mapping faces the challenge of subjective weight assignment in Multi-Criteria Decision-Making (MCDM) approaches, while machine learning methods lack transparency in factor importance. This study presents a hybrid approach ...